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Hi {{firstname|everyone}}, 

When I speak to firm leaders about AI, the most common pushback I hear is: “We’re not ready.” Or worse, “It doesn’t fit into how we work.” 

The irony is, by waiting, firms are locking themselves deeper into outdated workflows. They’re slowing down their teams, frustrating new hires, and leaving clients wondering if they’re getting the speed and precision they now expect. 

That’s why I found Deloitte’s rollout of their AI chatbot, PairD, worth paying attention to. Not because it’s Deloitte, but because it shows exactly where our industry is heading. And the numbers prove it.  

In the UK, usage of PairD tripled among staff, with efficiency gains and better training outcomes across the board. 

Let’s unpack what this means for firms like yours.  

Faster Learning for Juniors 

Every firm struggles with training juniors. It’s slow, resource-heavy, and often inconsistent. Juniors often spend hours trawling through standards or waiting for busy seniors to answer a question that could have been resolved in minutes.  

Deloitte used PairD to cut that lag by giving juniors a chatbot that answers technical queries in real time. 

  • What it does: clarifies audit methodology, references standards, and suggests formats for workpapers instantly.  

  • Impact: juniors move faster, build confidence sooner, and seniors reclaim time for client-facing and high-level tasks.  

  • Result: Deloitte saw stronger engagement among juniors, who felt less stuck and more supported. 

The real takeaway here is that you don’t need Deloitte’s scale to achieve this. Even a lightweight custom GPT trained on your firm’s audit manuals, methodology guides, and client FAQs can slash training hours.  

Start by identifying the most common “rookie questions” in your firm and build a bot around them. It will pay back within weeks. 

 

Embedding AI into Daily Workflow 

The real utility of PairD is that Deloitte embedded it into everyday audit work. Staff use it to draft memos, summarize standards, and cross-check procedures against regulatory requirements.  

That explains why adoption jumped from 25% to 75% in a matter of months. Once people saw the time saved on repetitive tasks, like producing the first draft of a going-concern memo or summarizing ISA requirements, it became indispensable.  

What firms should note is that shouldn’t launch AI in isolation, instead: 

  • Tie it to one workflow first (audit planning, sampling, or client emails).  

  • Measure the time saved, prove the value, then expand.  

  • If AI sits at the heart of delivery, adoption takes care of itself. 

These are going to be the points of difference between AI being a nice-to-have and being a productivity driver.  

Building Trust in AI Use 

One of the biggest barriers to AI adoption is trust, will the outputs be accurate, compliant, safe?  

Deloitte knew this, so they didn’t just roll out PairD and hope for the best. They built in governance, set clear boundaries on use, and created review protocols so outputs were always checked.  

This matters.  

The fastest way to kill AI adoption in a firm is a single high-profile error that shakes confidence. By building trust into the rollout, Deloitte avoided that trap and made PairD not just useful, but reliable. 

For firms, the message is clear, start small, but start with structure. Define where AI is “allowed” to operate (e.g., drafting, summarizing, initial checks) and where human oversight is mandatory.  

Ultimately, make sure compliance and risk teams are involved from the start. That way, trust grows instead of fear. 

 

Where Samera Fits In 

We’re not Deloitte, and we don’t pretend to be. But we see the same future. 

With Samera.ai, we’re building AI agents tailored for accounting firms, focused on onboarding, client queries, and audit prep. Right now, we’re piloting it in-house, but our goal is to help firms like yours embed AI into everyday work, responsibly and effectively. 

If you want to see where this is heading, take a look at Samera.ai and book a discovery call with us.  

Cheers, 

Arun 

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